Instructions to use facebook/wav2vec2-large-xlsr-53-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-large-xlsr-53-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-spanish")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large-xlsr-53-spanish") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-large-xlsr-53-spanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b21965d43985d4923c01a4a8306939985cfaba96dcb578f170179fecc64f8b7
- Size of remote file:
- 1.26 GB
- SHA256:
- 3db08b1ca6eb0f030cf8d644059a73388ad607e1c97d4f8dacb04f0fda6f026f
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